Figure 22
A network visualization showing multiple clustered nodes with interconnected labels showing relationships among publications.The network visualization displays a dense interconnected structure of nodes, each represented by a colored circle with a text label, and connected by numerous thin lines indicating relationships among publications. The visualization consists of four major color-coded clusters arranged in layers. At the top, the red cluster contains many nodes labeled with publication identifiers such as “gao y, 2020, sustainability”, “li a, 2023, int rev financ analysis”, “nasam m, 2021, int rev financ analys”, and others, all densely interconnected with red lines forming a web-like pattern. Below the red cluster, a large blue cluster spans the central area, featuring nodes labeled “gao y, 2023, int bus financ”, “duz n, 2023, environ manage”, “bharatwaj s, 2022, geo j real associ”, and dozens of other publication identifiers linked by overlapping blue edges. On the lower left, a purple cluster forms another group of tightly connected nodes such as “kwong r, 2023, sustainability-base”, “wang q, 2022, econ model”, “lau k, 2021, int financ serv mark”, and additional labels connected by purple lines that merge into the overall network. At the bottom, a green cluster features nodes such as “kou m, 2024, int rev econ financ”, “thomas mn, 2023, int j bank mark”, “baranson m, 2022, dig bus”, “charila a, 2023, economics”, and others forming a compact connected region. All four clusters overlap slightly, and their connecting lines create a highly interconnected visual structure, showing how publication topics and authorship relationships interlink across clusters. The entire network appears circular overall, with dense central overlap between red and blue nodes, lighter interconnections bridging to the purple and green clusters, and no isolated nodes visible.

Clustering by coupling. Source: Output from RStudio, Biblioshiny

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